Monitoring and self-learning fuzzy control for wire rupture prevention in wire electrical discharge machining

被引:21
|
作者
Yan, MT [1 ]
Liao, YS [1 ]
机构
[1] NATL TAIWAN UNIV,DEPT MECH ENGN,TAIPEI 10764,TAIWAN
关键词
D O I
10.1016/0890-6955(95)00050-X
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Wire breaking is a serious problem in the application of wire electrical discharge machining (WEDM). A WEDM sparking frequency monitoring and control system based on the characteristics of the voltage waveform of WEDM is developed. A new self-learning fuzzy controller is proposed to control the sparking frequency at a safe level by regulating the pulse off-time in real time for avoiding wire rupture and maintaining a state of high metal removal rate. The developed control strategy is tested under the conditions of cutting a workpiece with continuous sharp angles, a change in workpiece height during machining process, and machining with a high feed-rate. Experimental results show that this monitoring and control system can control the sparking frequency at a predetermined level without the risk of wire rupture.
引用
收藏
页码:339 / 353
页数:15
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